WTMG Intelligence

Bangladesh Relocation Market Intelligence

A data-driven view of Bangladesh's structural relocation market using migration, economic, destination-attractiveness and corridor indicators.

RMOS Score63.7868
Global RMOS Rank#56 of 171
Migration Momentum92.5
International Migrant Stock2,906,338
Migrant Share1.7%
MethodologyRMOS-GLOBAL-1.0
Data Coverage100.0%

This profile describes structural relocation-market conditions. It does not represent WTMG customer demand, leads, transactions or revenue.

RMOS-GLOBAL-1.0

Bangladesh's RMOS position

Authoritative RMOS63.7868
Global rank#56
Countries scored171
Top positionTop 32.7%
Migrant-stock rank#23 of 172
Migration-momentum rank#13 of 172

RMOS component breakdown

Weighted contributions reconcile to the stored authoritative RMOS score.

ComponentNormalized scoreWeightWeighted contribution
Migration Momentum92.525%23.1360
Migrant Market Size87.120%17.4269
Migrant Share26.515%3.9706
GDP per Capita21.315%3.2022
GDP Growth70.110%7.0057
Destination Attractiveness65.510%6.5454
Visa Accessibility50.05%2.5000
Stored final RMOS63.7868

Bangladesh migration-market scale

Source years are shown separately because the underlying datasets update on different cycles.

International migrant stock2,906,338Source year: 2024
Migrant share1.7%Source year: 2024
Population175,686,899Source year: 2025
GDP per capita$2,593Source year: 2024
GDP growth4.2%Source year: 2024

MMS-1.0

Bangladesh Migration Momentum

These are changes in international migrant stock, not annual migration flows.

2024 migrant stock2,906,338
2020 migrant stock2,115,408
2015 migrant stock1,422,179
2020-2024 change+790,930 (+37.4%)
2015-2024 change+1,484,159 (+104.4%)

Largest migrant-stock origins into Bangladesh

2024 international migrant stock, not annual relocation flow.

RankOrigin2024 migrant stock2020 stock2015 stock2020-2024 change
#1Malaysia274,253199,618203,561+74,635 (+37.4%)
#2China219,299159,619162,772+59,680 (+37.4%)
#3Indonesia205,947149,901152,862+56,046 (+37.4%)
#4USA61,98345,11546,008+16,868 (+37.4%)
#5Nepal52,62138,30139,059+14,320 (+37.4%)
#6India46,38533,76234,431+12,623 (+37.4%)
#7Bahrain40,63129,57430,160+11,057 (+37.4%)
#8Vietnam37,07626,98627,521+10,090 (+37.4%)
#9Cambodia26,46019,25919,642+7,201 (+37.4%)
#10Brazil20,09714,62814,919+5,469 (+37.4%)

Largest destinations for migrants from Bangladesh

2024 international migrant stock, not annual relocation flow.

RankDestination2024 migrant stock2020 stock2015 stock2020-2024 change
#1Saudi Arabia2,362,6802,120,0042,080,864+242,676 (+11.4%)
#2India2,293,9592,429,3122,604,674-135,353 (-5.6%)
#3UAE1,024,949902,689861,853+122,260 (+13.5%)
#4Oman737,087570,123590,082+166,964 (+29.3%)
#5Kuwait406,077370,340319,026+35,737 (+9.6%)
#6USA357,581279,242232,689+78,339 (+28.1%)
#7Malaysia282,437282,437282,4370 (0.0%)
#8Italy179,289138,20596,050+41,084 (+29.7%)
#9Bahrain103,28396,61888,697+6,665 (+6.9%)
#10Canada79,03368,53359,011+10,500 (+15.3%)

WTLG input

WTLG Destination Attractiveness

65.5

Country median RAS used by RMOS, based on 1 covered WTLG cities.

WTMG provides market intelligence; WTLG provides destination intelligence.

WTLG input

Visa Accessibility

50.0

Normalized RMOS component. Underlying median WTLG visa score: 50.0, based on 1 contributing cities.

Bangladesh against the global RMOS universe

A descriptive comparison with the median of currently scored countries.

MeasureBangladeshGlobal medianDifference
RMOS63.855.8+8.0
Migration Momentum92.560.1+32.4
Migrant Market Size87.150.3+36.8
Migrant Share26.550.0-23.5
GDP per Capita21.351.1-29.8
GDP Growth70.150.6+19.5
Destination Attractiveness65.567.0-1.6
Visa Accessibility50.060.0-10.0

Data years and limitations

  • UN migrant stock and corridors: 2024; momentum compares 2024 with 2020 and 2015.
  • World Bank GDP inputs use the actual observation years shown above.
  • WTLG destination data reflects the current stored WTLG dataset and depends on covered WTLG cities.
  • RMOS measures structural opportunity, not actual demand; migrant stock is not annual migration flow.
  • Different datasets have different update cycles.
  • This profile does not estimate provider revenue or demand for a specific professional service.

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